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Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews
Objective: Systematic reviews of scholarly documents often provide compl...
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Intervention Design for Effective Sim2Real Transfer
The goal of this work is to address the recent success of domain randomi...
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Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Multi-task reinforcement learning is a rich paradigm where information f...
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Learning Invariant Representations for Reinforcement Learning without Reconstruction
We study how representation learning can accelerate reinforcement learni...
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Plan2Vec: Unsupervised Representation Learning by Latent Plans
In this paper we introduce plan2vec, an unsupervised representation lear...
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Invariant Causal Prediction for Block MDPs
Generalization across environments is critical to the successful applica...
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Stable Policy Optimization via Off-Policy Divergence Regularization
Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization...
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Out-of-Distribution Generalization via Risk Extrapolation (REx)
Generalizing outside of the training distribution is an open challenge f...
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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Training an agent to solve control tasks directly from high-dimensional ...
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Learning Causal State Representations of Partially Observable Environments
Intelligent agents can cope with sensory-rich environments by learning t...
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Natural Environment Benchmarks for Reinforcement Learning
While current benchmark reinforcement learning (RL) tasks have been usef...
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A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
The risks and perils of overfitting in machine learning are well known. ...
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Decoupling Dynamics and Reward for Transfer Learning
Current reinforcement learning (RL) methods can successfully learn singl...
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Composable Planning with Attributes
The tasks that an agent will need to solve often are not known during tr...
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Mapping the world population one building at a time
High resolution datasets of population density which accurately map spar...
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Building Detection from Satellite Images on a Global Scale
In the last several years, remote sensing technology has opened up the p...
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Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation
Learning from weakly-supervised data is one of the main challenges in ma...
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Guess Who Rated This Movie: Identifying Users Through Subspace Clustering
It is often the case that, within an online recommender system, multiple...
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